The recent highlights a potential cybersecurity vulnerability related to sound-based attacks on keyboard inputs during video conferencing calls like Zoom calls. The research conducted by experts from the University of Surrey, Durham University, and the Royal Holloway, University of London demonstrates the feasibility of an AI system accurately identifying keys being pressed on a laptop keyboard based on the sound of typing. research report Here are some key takeaways and implications from this research: The research reveals that an AI system can detect the acoustic signals of keystrokes with a high degree of accuracy(more than 90%) by allowing it to determine which keys are being pressed during a Zoom call or other types of voice communication. It exposes a potential wormhole for cybercriminals to achieve access to sensitive information, such as passwords, billing information, etc., by analyzing the sounds of typing. Sound-based Attacks: As video conferencing tools like Zoom have gained widespread use, especially during the COVID-19 pandemic, the potential security risks associated with these platforms have also increased. The accessibility of built-in microphones in devices further increases the threat of sound-based attacks. Growing Threat with Video Conferencing: The researchers used machine learning algorithms to analyze acoustic signals associated with different keystrokes. The AI system learned to recognize patterns and features in the sound recordings to accurately identify pressed keys even with varying pressures on keywords with different fingers. This demonstrates the power of machine learning in exploiting the signals. Machine Learning and Acoustic Analysis: The study achieved a high level of accuracy in identifying keystrokes with success rates of up to 95% for phone call recordings and 93% for Zoom call recordings. This level of accuracy has cited the alarming security threats of such attacks. Increasing Accuracy: The researchers describe the need for public discussions and governance of AI technologies, especially as smart devices with microphones become more common within households. Sound-based attacks raise ethical and privacy concerns that warrant careful consideration. Importance of Public Debates: The research identifies this type of attack as a form of "side-channel attack," which combines unintended signals (such as sound) to gain unauthorized access or information. It indicates the importance of considering various attack vectors in cybersecurity strategies. Side-channel Attacks: Users are advised to exercise caution when typing sensitive information, including passwords, during video conferencing calls. Even subtle movements and sounds can potentially be exploited by sophisticated attackers. Implications for User Behavior: The study acknowledges that the accuracy of such AI models and attacks is likely to increase over time. So, it is essential to have continuous awareness and adaptation in cybersecurity practices. Ongoing Evolution of Attacks: So these are the key takeaways from the latest research report, but wondering how could it be prevented to safeguard your web apps and users from sound-based attacks? Here are a few well-working prevention measures to minimize the risks( Remember, complete prevention from such an ever-evolving attack is quite challenging, but combinations of the following methods will surely assist you in enhancing the security and integrity of your Web apps). To protect your web application from sound-based attacks or similar side-channel attacks, it is essential to have a multi-layered approach that addresses both the technical and user behavior aspects of cybersecurity. Here are some steps you can take to mitigate the risk of such attacks: It adds an extra layer of security as users require to provide a second piece of information (in addition to their password, like a code from an Authenticator app or Biometric login) to access their accounts. It involves sending a code to their mobile device or email and generating random codes in the authenticator app, which reduces the effectiveness of password-based attacks. Here is an example of a practical way to implement 2FA in your specific web app as per need. ✅Implement Two-Factor Authentication (2FA): This code demonstrates the flow for implementing multi-factor authentication with Specifically, it focuses on phone number verification as the second factor. You would need to adapt this code for various purposes to fulfill your specific application's needs, handle other MFA options, and potentially integrate the TOTP (Time-based One-Time Password) MFA if required. . Firebase Authentication Remember to also handle potential security and user experience considerations when implementing multi-factor authentication. Biometric authentication methods (such as fingerprint or facial recognition) are harder to clone than passwords and can add an extra layer of protection against unauthorized access from attackers. Here, you can prefer a well-instructed guide for Web developers to implement for their web apps. ✅Use Biometric Authentication: biometric authentication Implement noise reduction algorithms in your web application to minimize the detectable sound produced by keystrokes. While this won't provide complete protection, it can make it more challenging for attackers to detect sound patterns accurately by using AI tools. It can be done as follows: ✅Noise Reduction Algorithms: <head>
    <title>Noise Reduction Web App</title>
</head>
<body>
    <button id="startButton">Start Recording</button>
    <button id="stopButton" disabled>Stop Recording</button>
    <br>
    <audio id="audioElement" controls></audio>
    
    <script>
        let audioContext, mediaStream, scriptProcessor;
        const bufferSize = 2048, threshold = 0.05;
        const startButton = document.getElementById('startButton');
        const stopButton = document.getElementById('stopButton');
        const audioElement = document.getElementById('audioElement');

        startButton.addEventListener('click', startRecording);
        stopButton.addEventListener('click', stopRecording);

        function startRecording() {
            navigator.mediaDevices.getUserMedia({ audio: true }).then(stream => {
                audioContext = new (window.AudioContext || window.webkitAudioContext)();
                mediaStream = stream;
                scriptProcessor = audioContext.createScriptProcessor(bufferSize, 1, 1);
                scriptProcessor.onaudioprocess = e => {
                    const inData = e.inputBuffer.getChannelData(0),
                          outData = e.outputBuffer.getChannelData(0);
                    for (let i = 0; i < bufferSize; i++) outData[i] = Math.abs(inData[i]) < threshold ? 0 : inData[i];
                };
                audioContext.createMediaStreamSource(mediaStream).connect(scriptProcessor);
                scriptProcessor.connect(audioContext.destination);
                startButton.disabled = true;
                stopButton.disabled = false;
            }).catch(error => console.error('Error accessing microphone:', error));
        }

        function stopRecording() {
            if (audioContext) {
                audioContext.close();
                mediaStream.getTracks().forEach(track => track.stop());
                scriptProcessor = audioContext = null;
                startButton.disabled = false;
                stopButton.disabled = true;
            }
        }
    </script>
</body>
</html> Here, the code demonstrates noise reduction using the , or you are also free to use different audio processing libraries like . Let’s see how it works. First, create an HTML file and open it in your web browser. You see the following screen once you’re done. Web Audio API , and RNNoise SpeexDSP After that, click on “ ” and grant microphone access permission in your web browser, then start typing and analyzing the randomized sound produced. Start Recording Please note that the Web Audio API provides a range of nodes and methods that can be used for more advanced audio processing tasks, and you’re free to use different audio libraries to experiment as per your web app’s needs. You can implement keyboard layout randomization, which rearranges the order of keys on the virtual keyboard by making it harder for an attacker to detect the typed content based solely on sound. This is the popular method that some financial institutions have already implemented to secure their users from sound-based attacks. ✅Keyboard Layout Randomization: Randomize the timing of key presses. You can introduce variation in the time interval between keystrokes. So, it is more difficult for attackers to determine the specific keys being pressed. Here is an example of code how you can do this. ✅Randomized Key Press Timing: <head>
    <title>Randomized Key Press Timing</title>
</head>
<body>
    <input id="textInput" type="text">
    
    <script>
        const textInput = document.getElementById('textInput');

        textInput.addEventListener('keydown', event => {
            setTimeout(() => console.log('Key pressed:', event.key), Math.random() * 500);
        });
    </script>
</body>
</html> Here you can see the key press randomization logic is applied to allow you to analyze how the simulated key presses occur with random timing delay. You can create an HTML file and open it in your web browser. You see an empty box and start to type some words. Now, locate the output in the console of the web browser showing the pressed keys along with their randomized timing. You’re free to modify this code to integrate it into your web app. Also, experiment with different key press actions to observe how the random timing affects the behaviour while typing the texts. Raise awareness among your users about the potential risks of sound-based attacks and the importance of not typing sensitive information like passwords or personal data during video calls or in public settings. You can mandate your users to mix the different upper and lower cases letters, numbers, and symbols, such as , etc., while typing the passwords for your web app. ✅Educate Users: #,$, %, * Conducting regular security audits and penetration testing on your web application can assist you in identifying and addressing vulnerabilities. It helps you to stay ahead of potential attacks, so implementation of necessary security measures could be even easier. Also, follow secure coding practices to prevent common vulnerabilities that could be exploited by attackers (such as SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF)) while developing your web apps. ✅Regular Security Audits: If your web application requires microphone access, ensure that users are aware of the permissions they are granting and allow them to manage those permissions easily (You can adjust the Information Architecture for this purpose). Consider providing options to disable microphone access when not needed. ✅Privacy Settings for Microphone: Implement multiple layers of security controls ( such as firewalls, intrusion detection systems (IDS), and security monitoring) to detect and respond to potential attacks in real time. Most of such security features are based on different plans and pricing. For example, a popular platform IONOS offers some security features as part of its hosting services, such as firewall protection, malware Scanning, SSL Certificates, DDoS Protection, and backup and restore. You can perform research for other services as well. ✅Multi-Layered Security: Use strong encryption protocols to secure communication between the user's device and your web application. This helps protect data from eavesdropping and interception. In most cases, you need to have an SSL/TLS certificate from a trusted Certificate Authority (CA). ✅Encryption: Keep your web application and underlying supporting software components up to date with the latest security patches to prevent exploitation of known vulnerabilities. ✅Regular Updates and Patches: Provide users with guidelines and proper Information Architecture (IA) on safe usage (such as avoiding sensitive conversations while typing on a keyboard during video calls or using background noise to mask typing sounds). ✅User Guidelines: Conclusion: As research suggests the AI-driven identification of keystrokes based on typing sounds, there are risks of unauthorized access to sensitive data. The researchers have emphasized the surge in threats due to widespread video conferencing use by using machine learning in attacks and urged discussions on AI governance. Remember that no security measure is foolproof, and a tech-savvy attacker might still find ways to exploit vulnerabilities of web apps. It is recommended to make the combination of the above methods for your web app to reduce the potential risks of sound-based attacks. Not just sound-based attacks, attackers are also using evolving techniques like blockchain-enabled modular malware So, it is essential to stay up to date with the security news to enhance the security features of your web app. . Glupteba

Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something better.

This story contains new, firsthand information uncovered by the writer.

2022 - HackerNoon Contributor of the Year - Blockchain

Nominated for 2022 - HackerNoon Contributor of the Year - Blockchain

Software Developer

Content Creator, Juror, and  Moderator

Technical Writer

Developer, Tech Writer, and Quantum Physicist

Too Long; Didn't Read

Making security fun one episode at a time

Is AI Eavesdropping on You?: Defend Your Passwords From AI Keystroke Pattern Detection

Too Long; Didn't Read

People Mentioned

Vision NP

STORY’S CREDIBILITY

Guide

Original Reporting

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

Is AI Eavesdropping on You?: Defend Your Passwords From AI Keystroke Pattern Detection

Too Long; Didn't Read

People Mentioned

Vision NP

STORY’S CREDIBILITY

Guide

Original Reporting

About Author

TOPICS

THIS ARTICLE WAS FEATURED IN...

RELATED STORIES